Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7314
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dc.contributor.authorÜbeyli, Elif Derya-
dc.date.accessioned2021-09-11T15:56:23Z-
dc.date.available2021-09-11T15:56:23Z-
dc.date.issued2009en_US
dc.identifier.issn0266-4720-
dc.identifier.issn1468-0394-
dc.identifier.urihttps://doi.org/10.1111/j.1468-0394.2009.00468.x-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7314-
dc.description.abstractIn this paper, the probabilistic neural network is presented for classification of electroencephalogram (EEG) signals. Decision making is performed in two stages: feature extraction by wavelet transform and classification using the classifiers trained on the extracted features. The purpose is to determine an optimum classification scheme for this problem and also to infer clues about the extracted features. The present research demonstrates that the wavelet coefficients obtained by the wavelet transform are features which represent the EEG signals well. The conclusions indicate that the probabilistic neural network trained on the wavelet coefficients achieves high classification accuracies (the total classification accuracy is 97.63%).en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofExpert Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectprobabilistic neural networksen_US
dc.subjectwavelet transformen_US
dc.subjectelectroencephalogram (EEG) signalsen_US
dc.titleProbabilistic Neural Networks Combined With Wavelet Coefficients for Analysis of Electroencephalogram Signalsen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.volume26en_US
dc.identifier.issue2en_US
dc.identifier.startpage147en_US
dc.identifier.endpage159en_US
dc.identifier.wosWOS:000266024200002en_US
dc.identifier.scopus2-s2.0-67649134786en_US
dc.institutionauthorÜbeyli, Elif Derya-
dc.identifier.doi10.1111/j.1468-0394.2009.00468.x-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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